Groundwater for Sustainable Development最新文献_第4页

Economic perspectives on groundwater conservation: Insights from farmers in western Uttar Pradesh, India

IF 4.9 Q2 ENGINEERING, ENVIRONMENTAL

Groundwater for Sustainable Development

Pub Date : 2025-02-01 DOI: 10.1016/j.gsd.2025.101412

Akshi Bajaj , S.P. Singh , Diptimayee Nayak , Ankit Nagar

Groundwater management for irrigation is a critical area of research, particularly in developing economies like India where agriculture is heavily dependent on this resource. In India, groundwater is governed by the rule of capture, such that groundwater beneath an individual's land is treated as a private resource. This open-access nature leads to overexploitation and presents significant challenges for effective regulation. The present study seeks to assess the farmers' preferences for groundwater management alternatives and their marginal willingness to pay (MWTP) for sustaining the groundwater resources. Employing the contingent ranking method and rank-ordered logit model, the analysis is based on primary data from 300 farm households in Western Uttar Pradesh, India. Findings show that farmers prefer the groundwater management alternative of metered private tube wells, despite its higher cost, because their MWTP for this attribute is the highest. This suggests a strong preference for maintaining private rights to groundwater extraction while supporting sustainability through per-unit consumption charge. Farmers exhibit a significant MWTP of INR 1718 (USD 20.48) annually for the non-use benefits of groundwater. While this WTP may seem modest compared to the intrinsic value of groundwater's non-use benefits, it marks a critical step toward organised groundwater governance. Furthermore, farmer characteristics—such as education level and landholding size—significantly influence their preferences for various groundwater management attributes. These findings underscore the importance of policy interventions that incorporate economic incentives alongside conservation goals to address the ongoing groundwater depletion in agrarian economies like India.

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引用次数: 0

Investigating the role of ENSO in groundwater temporal variability across Abu Dhabi Emirate, United Arab Emirates using machine learning algorithms

IF 4.9 Q2 ENGINEERING, ENVIRONMENTAL

Groundwater for Sustainable Development

Pub Date : 2025-02-01 DOI: 10.1016/j.gsd.2024.101389

Khaled Alghafli , Xiaogang Shi , William Sloan , Awad M. Ali

Accurate prediction of groundwater levels is crucial for managing groundwater resources efficiently. The complex aquifer heterogeneity and groundwater abstraction variation present challenges to have accurate groundwater level models over Abu Dhabi emirate, United Arab Emirates. In the present study, two data-driven models are employed, which are the Long Short-Term Memory (LSTM) and the Random Forest (RF) to develop a model for the prediction of monthly groundwater level in the Abu Dhabi Emirate. The incorporated data in the models are precipitation, terrestrial water storage, soil moisture, evapotranspiration, and the El Niño-Southern Oscillation (ENSO) 3.4 index. The groundwater monitoring wells data are obtained for 263 monitoring wells distributed over Abu Dhabi emirate for the period 2000–2023 in a monthly temporal scale. The models' performance was assessed using the Nash-Sutcliffe efficiency (NSE), root mean square error (RMSE) the coefficient of determination (R²) and Percent bias (PBIAS). An optimization technique was also applied to address the impact of the lags on enhancing the groundwater level model. The LSTM model outperformed the RF model during the testing period, achieving R² = 0.79, NSE = 0.70, RMSE = 0.38 m and PBIAS = 0.2% with a 3-month lag. The global sensitivity analysis was applied to understand the importance of each parameter and its influence on the models’ output. This study highlights the potential use of data-driven models for the prediction of groundwater level which could aid water managers to monitor the groundwater resources at a regional scale. The developed model can serve as an alternative approach for predicting groundwater level change over the Abu Dhabi Emirate.

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引用次数: 0

Sustainable restoration of low-quality groundwater through aquifer storage and recovery

IF 4.9 Q2 ENGINEERING, ENVIRONMENTAL

Groundwater for Sustainable Development

Pub Date : 2025-02-01 DOI: 10.1016/j.gsd.2024.101396

Vahid Sobhi Gollo , Bentley Bo Schmidt , Carsten Hansen , Nima Shokri

The escalating challenges in urban water supply, driven by rapid urbanization, climate change, and water resources pollution, necessitate innovative solutions for sustainable water management. Urban areas frequently encounter spatial constraints for the installation of new production wells, thereby intensifying water scarcity. Shifting climate conditions lead to increased occurrences of extreme weather events, aggravating global water scarcity and impeding sustainable development, particularly impacting human health and exacerbating societal inequalities. To address this issue, our study explores the retrofitting of inactive production wells for aquifer storage and recovery (ASR) in low-quality aquifers, providing a systematic framework. The evaluation focuses on the suitability of inactive wells for ASR operations and utilizes the FEFLOW 8.1 groundwater model to assess the impact of hydrogeological conditions on ASR system recovery efficiency (RE). To validate this framework, we concentrate on the northwest region of the Hamburg metropolitan area, utilizing generalized hydrogeological conditions to yield universally applicable results. This region is characterized by high sulphate concentrations in groundwater, limiting the utility of production wells. Our findings demonstrate that ASR in a low-quality aquifer can constitute a viable strategy to address water scarcity. Under ideal aquifer conditions, ASR can achieve recovery efficiencies exceeding 100%. Our proposed framework emphasizes the necessity of a meticulous assessment of well design, considering construction materials and geological factors to prevent clogging. Key efficiency factors include the hydraulic gradient, injection and ambient concentrations, proximity to production wells, and dispersivity. Furthermore, ASR contributes to cost reduction by enhancing water management infrastructure and optimizing capacity utilization. This research provides a comprehensive perspective, offering valuable insights applicable to diverse locations grappling with water scarcity challenges.

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引用次数: 0

Unraveling two-dimensional modeling of multispecies reactive transport in porous media with variable dispersivity

IF 4.9 Q2 ENGINEERING, ENVIRONMENTAL

Groundwater for Sustainable Development

Pub Date : 2025-02-01 DOI: 10.1016/j.gsd.2025.101404

Kumar Rishabh Gupta, Pramod Kumar Sharma

The movement of reactive contaminants in subsurface has led to variations in groundwater quality, particularly near chemical and nuclear repositories because of the geochemical and hydrodynamic processes involved in porous media. This study deals with the two-dimensional numerical model to address multispecies transport through saturated porous media with steady-state flow conditions, considering advection, longitudinal and transverse dispersion with the first-order decay and the same is validated with the analytical solution. Focusing on four-species radionuclide decay, this study explores three dispersion models considering constant (ADC), linear (ADL) and exponential distance-dependent dispersivities (ADED) and their comparative analysis reveals the plume mobility emphasizing the role of dispersivity in shaping reactive solute transport by incorporating effective dispersivity. The results show that the concentrations of all radionuclides exhibit their peak values within the source area at time of 500 years, in which ²²⁶Ra has the largest plume and a discernible decrease of 12% and 20% is observed in the first moment for ADL and ADED as compared to ADC. Also, the relative plume size is in the order of ²²⁶Ra > ²³⁸Pu > ²³⁴U > ²³⁰Th stipulating that the daughter species with largest plume may not necessarily dominate migration. Further, the spatial moments are used to encapsulate the sensitivity analysis, extending the applicability to simulate reactive transport scenarios. This study enhances the ability to predict and understand the long-term environmental perturbations by developing methodologies for modeling and forecasting the contaminants behavior that contributes to SDG-6 and SDG-13 through sustainable groundwater management.

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引用次数: 0

Implementation of satellite-based water accounting plus (WA+) framework for estimating groundwater balance and utilization in a semi-arid river basin of India

IF 4.9 Q2 ENGINEERING, ENVIRONMENTAL

Groundwater for Sustainable Development

Pub Date : 2025-02-01 DOI: 10.1016/j.gsd.2024.101391

Debrupa Chatterjee , Pushpendra Kumar Singh , Dharmaveer Singh , Diganta Bhusan Das

This study applied the satellite-based Water Accounting Plus (WA+) Framework wherein a WaterPix Model (pixel-based hydrological model) along with the Budyko hypothesis was used to account for the groundwater balance and utilization in the drought-prone Central Godavari River Basin (CGRB) of India as per the unique WA + based Land Use (WALU) classes. A reduction of 2.59 km³/year in the groundwater storage was observed during study period (2003–2020) despite the withdrawals of 8.88 km³/year against the total recharge of 13.4 km³/year, of which 12.22 km³/year was received from vertical recharge and 1.18 km³/year as the return flow (e.g., irrigation) to the groundwater. This may be attributed to the higher percentage contribution (∼54%) of the recharged groundwater to the baseflow. The higher baseflow contribution shows that surface water (SW)-groundwater (GW) interaction in the CGRB is high, and the ecological health of the basin is primarily sustained by the baseflow. The negative storage change in groundwater was also validated with the groundwater level data collected from 26 observational wells across the basin. Moreover, water demands (ET_Blue + ET_Green) were higher than the supplied water, resulting water scarcity in the CGRB for most of the districts. The consumptions from ET_Blue that is a measure of water consumption from irrigated crops suggests that the majority of water withdrawals (about 95%) originate from groundwater, revealing the basin's heavy reliance on this resource. Therefore, the marked ET_Blue hotspots (Nizamabad, Nirmal, Hingoli, parts of Nanded, Aurangabad, and Parbhani) are to be prioritised for reduced groundwater withdrawals and making ‘hotspots’ to the ‘bright spots’. The farmers of the ET_Blue hotspots regions should adopt less water-requiring crops (through crop diversification), such as millets and other coarse cereals to reduce water use in agriculture. Finally, the reliable quantification of groundwater supply and consumption using the WA + Framework can assist in groundwater resources management of a data sparse region.

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引用次数: 0

Groundwater level forecasting using empirical mode decomposition and wavelet-based long short-term memory (LSTM) neural networks

IF 4.9 Q2 ENGINEERING, ENVIRONMENTAL

Groundwater for Sustainable Development

Pub Date : 2025-02-01 DOI: 10.1016/j.gsd.2024.101397

Amirhossein Nazari , Moein Jamshidi , Abbas Roozbahani , Behzad Golparvar

Groundwater is a vital resource for multiple sectors, but over-extraction has led to significant declines in groundwater levels across many regions. Accurately forecasting groundwater levels is essential for effective planning and management. However, the presence of non-stationarity in groundwater time series, such as trends and fluctuations, can result in poor prediction performance. This study proposes a novel hybrid approach combining Long Short-Term Memory (LSTM) models with Empirical Mode Decomposition (EMD) and Wavelet Transform (WT) to address these challenges. Non-stationary data from three wells in San Bernardino County, California, collected over a five-year period (2017–2022), were used for training and testing the models. The time-series data were preprocessed using EMD and WT to break down complex patterns into simpler components, which were then fed into LSTM models to improve forecasting accuracy. Our results show that the EMD-LSTM model significantly outperforms both the Wavelet-LSTM and traditional Single LSTM models when the error is rooted in a trend factor. According to the Root Mean Squared Error (RMSE) index, The EMD-LSTM reduced forecasting errors by up to 19% and 78% for wells W0804 and W0904, respectively. In contrast, for the well 4905, WT and EMD were not able to increase LSTM accuracy when fluctuations happened randomly. These findings demonstrate that the EMD-LSTM model is a powerful tool for forecasting groundwater levels, especially in cases where non-stationarity is prevalent. This approach can be applied to enhance groundwater management strategies, helping decision-makers ensure sustainable water resource planning, particularly in regions facing unsustainable groundwater withdrawals.

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引用次数: 0

Hydrogeochemical evolution of spring water in the western lower himalayas: Seasonal changes, quality assessment, and health risks

IF 4.9 Q2 ENGINEERING, ENVIRONMENTAL

Groundwater for Sustainable Development

Pub Date : 2025-01-31 DOI: 10.1016/j.gsd.2025.101411

Shijin Rajan , Janardhana Raju Nandimandalam , Prahlad Ram

Spring water serves as a vital freshwater source for Himalayan mountain communities. In order to determine the spring water quality, hydrogeochemical processes, and seasonal changes, thirty-six samples from nine locations in four seasons (2021–2023) were collected and analysed for physicochemical constituents, heavy metals, and stable isotopes (δ¹⁸O and δ²H). The findings demonstrate that a mixture of processes, such as silicate and carbonate weathering through ion exchange and reverse ion exchange processes, regulate the spring water chemistry. The geochemical evolution of spring water is primarily driven by rock weathering, with 86% of the samples exhibiting a Ca.Mg-HCO₃ water type. Most parameters show insignificant seasonal changes except for SiO₂ (p = 0.002), Al (p = 0.007), Co (p = 0.002), Cu (p = 0.00), Li (p = 0.00), Mo (p = 0.00), and Pb (p = 0.00). The isotopic data suggests meteoric origin of spring water, with δ¹⁸O and δ²H values ranging from −8.91‰ to −7.65‰ and −62.7‰ to −51.6‰ (pre-monsoon) and −9.71‰ to −7.86‰ and −63.9‰ to −51.3‰ (post-monsoon), aligning with the local meteoric water line (δ²H = 7.73 × δ¹⁸O+10.45; r² = 0.99). The EWQI and HPI suggest excellent spring water quality in 89%–100% of samples. Among the heavy metals, arsenic poses a potential non-carcinogenic risk in 11%–44% of spring water samples for adults and children. Similarly, arsenic (33%–56%) and nickel (44%–78%) present significant carcinogenic risks, exceeding the acceptable limit of 1 × 10⁻⁴. Overall, the spring water quality is adequate and primarily driven by natural processes, but the levels of As and Ni are in the critical range for human health.

{"title":"Hydrogeochemical evolution of spring water in the western lower himalayas: Seasonal changes, quality assessment, and health risks","authors":"Shijin Rajan , Janardhana Raju Nandimandalam , Prahlad Ram","doi":"10.1016/j.gsd.2025.101411","DOIUrl":"10.1016/j.gsd.2025.101411","url":null,"abstract":"<div><div>Spring water serves as a vital freshwater source for Himalayan mountain communities. In order to determine the spring water quality, hydrogeochemical processes, and seasonal changes, thirty-six samples from nine locations in four seasons (2021–2023) were collected and analysed for physicochemical constituents, heavy metals, and stable isotopes (δ<sup>18</sup>O and δ<sup>2</sup>H). The findings demonstrate that a mixture of processes, such as silicate and carbonate weathering through ion exchange and reverse ion exchange processes, regulate the spring water chemistry. The geochemical evolution of spring water is primarily driven by rock weathering, with 86% of the samples exhibiting a Ca.Mg-HCO<sub>3</sub> water type. Most parameters show insignificant seasonal changes except for SiO<sub>2</sub> (p = 0.002), Al (p = 0.007), Co (p = 0.002), Cu (p = 0.00), Li (p = 0.00), Mo (p = 0.00), and Pb (p = 0.00). The isotopic data suggests meteoric origin of spring water, with δ<sup>18</sup>O and δ<sup>2</sup>H values ranging from −8.91‰ to −7.65‰ and −62.7‰ to −51.6‰ (pre-monsoon) and −9.71‰ to −7.86‰ and −63.9‰ to −51.3‰ (post-monsoon), aligning with the local meteoric water line (δ<sup>2</sup>H = 7.73 × δ<sup>18</sup>O+10.45; r<sup>2</sup> = 0.99). The EWQI and HPI suggest excellent spring water quality in 89%–100% of samples. Among the heavy metals, arsenic poses a potential non-carcinogenic risk in 11%–44% of spring water samples for adults and children. Similarly, arsenic (33%–56%) and nickel (44%–78%) present significant carcinogenic risks, exceeding the acceptable limit of 1 × 10<sup>−4</sup>. Overall, the spring water quality is adequate and primarily driven by natural processes, but the levels of As and Ni are in the critical range for human health.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"29 ","pages":"Article 101411"},"PeriodicalIF":4.9,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143101816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Chronic toxicity through prolonged arsenic ingestion among population from endemic area of West Bengal, India: Promoting better management to mitigate future risk

IF 4.9 Q2 ENGINEERING, ENVIRONMENTAL

Groundwater for Sustainable Development

Pub Date : 2025-01-27 DOI: 10.1016/j.gsd.2025.101410

Sharmistha Majumder, Swetanjana Ghosh, Urvashi Lama, Archita Dey, Debadrita Das, Sk Majrul, Tarit Roychowdhury

This study focused on evaluating the present arsenic (As) contamination scenario in drinking water and the most consumed food sources such as rice grain and pulses along with its associated chronic toxicity exposure among population from Baranda Shibnagar; a village located in the Murshidabad-Jiaganj block of Murshidabad district, West Bengal, India. A Monte Carlo Simulation was employed to model probabilistic risk and identify the factors contributing most to arsenic-related health risks. Limited probabilistic risk assessments have been conducted in this high-risk region. The findings revealed a higher mean As levels in drinking water (24.5 μg/l) and rice grain (201 μg/kg) surpassing the acceptable limit, whereas, pulses (26.5 μg/kg) were considered to be safe. Besides, As accumulation in chronic toxicity biomarkers of the studied population was also found higher (100% and 96% for hair and nails, respectively) than the threshold values. Furthermore, a significant correlation was observed between As ingestion and biomarker accumulation, reflecting an age-dependent increase in As levels in hair and nails. However, gender was found to have no substantial impact on As accumulation in chronic biomarkers. Among all the sources, rice grain was found as the primary route of As exposure followed by drinking water and pulses. The total estimated daily intake of As (EDI_Total) was found to be highest in adult males, correlating with their heightened carcinogenic risk (CR), followed by females and children. Non-carcinogenic risks (NCR) were notably high among children and according to the sensitivity test result, As concentration in ingestible sources was found to be the most significant component contributing to the CR and NCR followed by exposure duration (ED). These findings underscore the need for immediate interventions in water management and agricultural practices to reduce As exposure and prioritise the necessity for As-safe drinking water to protect human health from its toxic consequences.

{"title":"Chronic toxicity through prolonged arsenic ingestion among population from endemic area of West Bengal, India: Promoting better management to mitigate future risk","authors":"Sharmistha Majumder, Swetanjana Ghosh, Urvashi Lama, Archita Dey, Debadrita Das, Sk Majrul, Tarit Roychowdhury","doi":"10.1016/j.gsd.2025.101410","DOIUrl":"10.1016/j.gsd.2025.101410","url":null,"abstract":"<div><div>This study focused on evaluating the present arsenic (As) contamination scenario in drinking water and the most consumed food sources such as rice grain and pulses along with its associated chronic toxicity exposure among population from Baranda Shibnagar; a village located in the Murshidabad-Jiaganj block of Murshidabad district, West Bengal, India. A Monte Carlo Simulation was employed to model probabilistic risk and identify the factors contributing most to arsenic-related health risks. Limited probabilistic risk assessments have been conducted in this high-risk region. The findings revealed a higher mean As levels in drinking water (24.5 μg/l) and rice grain (201 μg/kg) surpassing the acceptable limit, whereas, pulses (26.5 μg/kg) were considered to be safe. Besides, As accumulation in chronic toxicity biomarkers of the studied population was also found higher (100% and 96% for hair and nails, respectively) than the threshold values. Furthermore, a significant correlation was observed between As ingestion and biomarker accumulation, reflecting an age-dependent increase in As levels in hair and nails. However, gender was found to have no substantial impact on As accumulation in chronic biomarkers. Among all the sources, rice grain was found as the primary route of As exposure followed by drinking water and pulses. The total estimated daily intake of As (EDI<sub>Total</sub>) was found to be highest in adult males, correlating with their heightened carcinogenic risk (CR), followed by females and children. Non-carcinogenic risks (NCR) were notably high among children and according to the sensitivity test result, As concentration in ingestible sources was found to be the most significant component contributing to the CR and NCR followed by exposure duration (ED). These findings underscore the need for immediate interventions in water management and agricultural practices to reduce As exposure and prioritise the necessity for As-safe drinking water to protect human health from its toxic consequences.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"29 ","pages":"Article 101410"},"PeriodicalIF":4.9,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143101815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Contamination of groundwater by microorganisms and risk management: Conceptual model, existing data, and challenges

IF 4.9 Q2 ENGINEERING, ENVIRONMENTAL

Groundwater for Sustainable Development

Pub Date : 2025-01-13 DOI: 10.1016/j.gsd.2025.101408

A.J. Natishah , Melvin S. Samuel , Karrun Velmurugan , S.R. Showparnickaa , S.M. Indumathi , Mohan Kumar

Groundwater, a crucial resource for drinking water and irrigation, is increasingly threatened by microbial contamination from bacteria and viruses, presenting serious public health challenges. This review offers a thorough exploration of the sources and pathways through which bacteria like fecal coliforms and enteric viruses infiltrate groundwater, highlighting key risk factors such as land use, poor sanitation, and climate change. It assesses both conventional and innovative risk management strategies, with a special emphasis on Quantitative Microbial Risk Assessment (QMRA) as a tool to gauge their effectiveness. The review aligns with Sustainable Development Goals (SDGs) concerning clean water and health, offering insights on how microbial contamination can be reduced to meet global targets. Furthermore, it addresses the specific difficulties faced by Small Water Systems (SWSs) in hazard identification, pathogen monitoring, and QMRA implementation, proposing an enhanced QMRA framework for these systems. By identifying knowledge gaps and suggesting future research directions, this review seeks to advance understanding of bacterial and viral contamination in groundwater, contributing to its safer and more sustainable use.

{"title":"Contamination of groundwater by microorganisms and risk management: Conceptual model, existing data, and challenges","authors":"A.J. Natishah , Melvin S. Samuel , Karrun Velmurugan , S.R. Showparnickaa , S.M. Indumathi , Mohan Kumar","doi":"10.1016/j.gsd.2025.101408","DOIUrl":"10.1016/j.gsd.2025.101408","url":null,"abstract":"<div><div>Groundwater, a crucial resource for drinking water and irrigation, is increasingly threatened by microbial contamination from bacteria and viruses, presenting serious public health challenges. This review offers a thorough exploration of the sources and pathways through which bacteria like fecal coliforms and enteric viruses infiltrate groundwater, highlighting key risk factors such as land use, poor sanitation, and climate change. It assesses both conventional and innovative risk management strategies, with a special emphasis on Quantitative Microbial Risk Assessment (QMRA) as a tool to gauge their effectiveness. The review aligns with Sustainable Development Goals (SDGs) concerning clean water and health, offering insights on how microbial contamination can be reduced to meet global targets. Furthermore, it addresses the specific difficulties faced by Small Water Systems (SWSs) in hazard identification, pathogen monitoring, and QMRA implementation, proposing an enhanced QMRA framework for these systems. By identifying knowledge gaps and suggesting future research directions, this review seeks to advance understanding of bacterial and viral contamination in groundwater, contributing to its safer and more sustainable use.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"29 ","pages":"Article 101408"},"PeriodicalIF":4.9,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143101813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prioritizing the effects of sustainable development of reviving the qanat in Fariman-Torbat Jam plain- The Eastern of Iran 优先考虑恢复伊朗东部法里曼-托尔巴特Jam平原坎儿井可持续发展的影响

IF 4.9 Q2 ENGINEERING, ENVIRONMENTAL

Groundwater for Sustainable Development

Pub Date : 2024-11-07 DOI: 10.1016/j.gsd.2024.101365

Nazanin Yousefian , Naser Shahnoushi Foroushani , Ali Firozzare , Saleh Taghvaeian

Qanat is an indigenous technology that has played a fundamental role in the expansion of cities and rural throughout arid and semi-arid regions. Severe drought and increased water demand in recent decades have led to excessive water extraction through wells rather than qanat, thereby disrupting the country's environmental, economic, and social sustainability. This study identified thirteen economic, nine social, and eight environmental components that appear from the revival of qanats. These components were identified based on prevailing conditions in the study area, expert interviews, and prior research, and were subsequently prioritized using the Entropy-WASPAS method. The results indicate that improving the quantity of water resources, the participation of people, and improving the income of the residents of the area are the most critical and anticipated outcomes of the qanat revival in the studied area. Indeed, reviving the qanats in the plain is a significant step toward achieving sustainable development, as it not only maintains ecological balance but also strengthens socio-economic resilience by boosting income and fostering greater participation of people. Finally, suggestions were provided to expedite the revival of the Fariman-Torbat Jam qanats, including forming associations and unions to enhance social interaction, providing low-interest loans for users, and encouraging private sector involvement in qanat revival initiatives.

坎儿井是一种土著技术，在整个干旱和半干旱地区的城市和农村扩张中发挥了根本作用。近几十年来，严重的干旱和不断增加的用水需求导致通过水井而不是坎儿井过度取水，从而破坏了该国的环境、经济和社会可持续性。这项研究确定了坎儿井复兴带来的13个经济因素、9个社会因素和8个环境因素。这些组成部分是根据研究区域的普遍条件、专家访谈和先前的研究确定的，随后使用熵- waspas方法对其进行优先排序。研究结果表明，改善水资源量、提高居民参与度和提高居民收入是研究区坎儿井复兴最关键和最可预期的结果。事实上，恢复平原上的坎儿井是实现可持续发展的重要一步，因为它不仅保持了生态平衡，而且通过增加收入和促进人们更多地参与，增强了社会经济复原力。最后，提出了加快Fariman-Torbat Jam坎儿井复兴的建议，包括成立协会和工会以加强社会互动，为用户提供低息贷款，并鼓励私营部门参与坎儿井复兴计划。

{"title":"Prioritizing the effects of sustainable development of reviving the qanat in Fariman-Torbat Jam plain- The Eastern of Iran","authors":"Nazanin Yousefian , Naser Shahnoushi Foroushani , Ali Firozzare , Saleh Taghvaeian","doi":"10.1016/j.gsd.2024.101365","DOIUrl":"10.1016/j.gsd.2024.101365","url":null,"abstract":"<div><div>Qanat is an indigenous technology that has played a fundamental role in the expansion of cities and rural throughout arid and semi-arid regions. Severe drought and increased water demand in recent decades have led to excessive water extraction through wells rather than qanat, thereby disrupting the country's environmental, economic, and social sustainability. This study identified thirteen economic, nine social, and eight environmental components that appear from the revival of qanats. These components were identified based on prevailing conditions in the study area, expert interviews, and prior research, and were subsequently prioritized using the Entropy-WASPAS method. The results indicate that improving the quantity of water resources, the participation of people, and improving the income of the residents of the area are the most critical and anticipated outcomes of the qanat revival in the studied area. Indeed, reviving the qanats in the plain is a significant step toward achieving sustainable development, as it not only maintains ecological balance but also strengthens socio-economic resilience by boosting income and fostering greater participation of people. Finally, suggestions were provided to expedite the revival of the Fariman-Torbat Jam qanats, including forming associations and unions to enhance social interaction, providing low-interest loans for users, and encouraging private sector involvement in qanat revival initiatives.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"28 ","pages":"Article 101365"},"PeriodicalIF":4.9,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0